History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"phenotype"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 344 | 2025-07-15 23:06:27 | phenotype | 1 | 81242 | 3 | 1.466 | 55417.5 |
| 343 | 2025-07-15 13:11:43 | phenotype | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 342 | 2025-07-14 02:40:48 | phenotype | 1 | 81242 | 3 | 6.530 | 12441.3 |
| 341 | 2025-07-11 12:41:08 | phenotype | 3 | 148641 | 32 | 43.940 | 3382.8 |
| 340 | 2025-07-10 11:39:41 | phenotype | 1 | 81242 | 3 | 1.343 | 60492.9 |
| 339 | 2025-07-02 12:44:58 | phenotype | 1 | 81242 | 3 | 5.623 | 14448.2 |
| 338 | 2025-06-25 19:08:36 | phenotype | 1 | 81242 | 3 | 1.516 | 53589.7 |
| 337 | 2025-06-20 12:42:33 | phenotype | 1 | 81242 | 3 | 6.530 | 12441.3 |
| 336 | 2025-06-19 22:29:43 | phenotype | 3 | 148641 | 32 | 33.753 | 4403.8 |
| 335 | 2025-06-18 08:39:15 | phenotype | 3 | 148641 | 32 | 35.740 | 4159.0 |
| 334 | 2025-06-18 02:47:18 | phenotype | 1 | 81242 | 3 | 6.733 | 12066.2 |
| 333 | 2025-06-16 21:53:08 | phenotype | 3 | 148641 | 32 | 36.313 | 4093.3 |
| 332 | 2025-06-16 06:59:32 | phenotype | 1 | 81242 | 3 | 4.906 | 16559.7 |
| 331 | 2025-06-14 04:09:45 | phenotype | 2 | 121436 | 9 | 10.860 | 11182.0 |
| 330 | 2025-06-13 05:04:02 | phenotype | 1 | 81242 | 3 | 1.466 | 55417.5 |
| 329 | 2025-06-12 08:05:29 | phenotype | 3 | 148641 | 32 | 32.330 | 4597.6 |
| 328 | 2025-06-12 07:28:15 | phenotype | 4 | 165329 | 129 | 54.116 | 3055.1 |
| 327 | 2025-06-12 07:17:03 | phenotype | 2 | 121436 | 9 | 25.796 | 4707.6 |
| 326 | 2025-06-11 00:49:25 | phenotype | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 325 | 2025-05-31 19:22:05 | phenotype | 1 | 81242 | 3 | 7.263 | 11185.7 |
| 324 | 2025-05-26 12:38:05 | phenotype | 1 | 81242 | 3 | 7.000 | 11606.0 |
| 323 | 2025-05-20 06:58:34 | phenotype | 1 | 81242 | 3 | 10.420 | 7796.7 |
| 322 | 2025-05-04 02:35:54 | phenotype | 1 | 81242 | 3 | 10.343 | 7854.8 |
| 321 | 2025-04-25 07:35:58 | phenotype | 3 | 148641 | 32 | 7.483 | 19863.8 |
| 320 | 2025-04-18 09:44:44 | phenotype | 3 | 148641 | 32 | 42.016 | 3537.7 |
| 319 | 2025-04-17 06:34:21 | phenotype | 1 | 81242 | 3 | 1.283 | 63321.9 |
| 318 | 2025-04-14 22:11:09 | phenotype | 3 | 148641 | 32 | 34.660 | 4288.5 |
| 317 | 2025-04-14 02:50:41 | phenotype | 1 | 81242 | 3 | 4.453 | 18244.3 |
| 316 | 2025-04-12 19:19:10 | phenotype | 3 | 148641 | 32 | 7.156 | 20771.5 |
| 315 | 2025-04-12 13:41:41 | phenotype | 3 | 148641 | 32 | 45.270 | 3283.4 |
| 314 | 2025-04-04 06:56:38 | phenotype | 4 | 165329 | 129 | 75.926 | 2177.5 |
| 313 | 2025-04-01 05:08:05 | phenotype | 4 | 165329 | 129 | 11.906 | 13886.2 |
| 312 | 2025-03-26 14:47:25 | phenotype | 1 | 81242 | 3 | 3.783 | 21475.5 |
| 311 | 2025-03-25 13:10:37 | phenotype | 2 | 121436 | 9 | 11.970 | 10145.0 |
| 310 | 2025-03-24 21:30:11 | phenotype | 4 | 165329 | 129 | 52.536 | 3147.0 |
| 309 | 2025-03-22 01:11:52 | phenotype | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 308 | 2025-03-20 15:27:27 | phenotype | 4 | 165329 | 129 | 58.016 | 2849.7 |
| 307 | 2025-03-20 08:40:11 | phenotype | 4 | 165329 | 129 | 49.813 | 3319.0 |
| 306 | 2025-03-20 08:14:22 | phenotype | 2 | 121436 | 9 | 21.393 | 5676.4 |
| 305 | 2025-03-19 09:14:15 | phenotype | 3 | 148641 | 32 | 6.046 | 24585.0 |
| 304 | 2025-03-19 07:42:42 | phenotype | 1 | 81242 | 3 | 1.343 | 60492.9 |
| 303 | 2025-03-16 19:11:24 | phenotype | 3 | 148641 | 32 | 46.080 | 3225.7 |
| 302 | 2025-03-16 19:01:49 | phenotype | 3 | 148641 | 32 | 44.596 | 3333.1 |
| 301 | 2025-03-13 19:52:10 | phenotype | 3 | 148641 | 32 | 48.126 | 3088.6 |
| 300 | 2025-03-07 09:21:09 | phenotype | 3 | 148641 | 32 | 31.296 | 4749.5 |
| 299 | 2025-03-06 05:11:52 | phenotype | 3 | 148641 | 32 | 37.283 | 3986.8 |
| 298 | 2025-03-06 05:11:43 | phenotype | 2 | 121436 | 9 | 19.423 | 6252.2 |
| 297 | 2025-03-06 05:08:03 | phenotype | 1 | 81242 | 3 | 3.843 | 21140.3 |
| 296 | 2025-03-03 18:58:55 | phenotype | 4 | 165329 | 129 | 69.066 | 2393.8 |
| 295 | 2025-03-01 03:08:51 | phenotype | 4 | 165329 | 129 | 74.426 | 2221.4 |
| 294 | 2025-02-21 03:10:54 | phenotype | 4 | 165329 | 129 | 52.753 | 3134.0 |
| 293 | 2025-02-20 04:11:46 | phenotype | 4 | 165329 | 129 | 55.206 | 2994.8 |
| 292 | 2025-02-18 05:21:20 | phenotype | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 291 | 2025-02-05 19:36:21 | phenotype | 1 | 81242 | 3 | 10.143 | 8009.7 |
| 290 | 2025-01-27 02:31:23 | phenotype | 1 | 81242 | 3 | 7.610 | 10675.7 |
| 289 | 2025-01-22 20:21:14 | phenotype | 4 | 165329 | 129 | 64.663 | 2556.8 |
| 288 | 2025-01-20 11:57:17 | phenotype | 4 | 165329 | 129 | 62.130 | 2661.0 |
| 287 | 2025-01-18 00:24:37 | phenotype | 4 | 165329 | 129 | 65.453 | 2525.9 |
| 286 | 2025-01-16 12:18:57 | phenotype | 4 | 165329 | 129 | 44.690 | 3699.5 |
| 285 | 2025-01-16 12:18:58 | phenotype | 2 | 121436 | 9 | 17.563 | 6914.3 |
| 284 | 2025-01-16 12:16:48 | phenotype | 1 | 81242 | 3 | 6.766 | 12007.4 |
| 283 | 2025-01-05 12:28:37 | phenotype | 1 | 81242 | 3 | 3.580 | 22693.3 |
| 282 | 2025-01-01 21:20:56 | phenotype | 1 | 81242 | 3 | 8.250 | 9847.5 |
| 281 | 2024-12-13 22:39:58 | phenotype | 2 | 121436 | 9 | 23.360 | 5198.5 |
| 280 | 2024-12-13 22:39:43 | phenotype | 3 | 148641 | 32 | 25.796 | 5762.2 |
| 279 | 2024-12-13 22:38:29 | phenotype | 1 | 81242 | 3 | 6.813 | 11924.6 |
| 278 | 2024-12-06 08:14:29 | phenotype | 2 | 121436 | 9 | 25.703 | 4724.6 |
| 277 | 2024-12-02 09:59:33 | phenotype | 3 | 148641 | 32 | 40.970 | 3628.0 |
| 276 | 2024-12-02 09:59:33 | phenotype | 2 | 121436 | 9 | 14.766 | 8224.0 |
| 275 | 2024-12-01 08:36:45 | phenotype | 3 | 148641 | 32 | 42.846 | 3469.2 |
| 274 | 2024-11-28 04:17:12 | phenotype | 3 | 148641 | 32 | 28.033 | 5302.4 |
| 273 | 2024-11-27 17:30:42 | phenotype | 3 | 148641 | 32 | 37.690 | 3943.8 |
| 272 | 2024-11-27 16:56:21 | phenotype | 1 | 81242 | 3 | 4.390 | 18506.2 |
| 271 | 2024-11-26 03:35:33 | phenotype | 1 | 81242 | 3 | 3.013 | 26963.8 |
| 270 | 2024-11-24 22:13:49 | phenotype | 1 | 81242 | 3 | 3.623 | 22424.0 |
| 269 | 2024-11-06 20:20:53 | phenotype | 2 | 121436 | 9 | 22.766 | 5334.1 |
| 268 | 2024-10-29 09:47:45 | phenotype | 2 | 121436 | 9 | 15.610 | 7779.4 |
| 267 | 2024-10-29 00:31:45 | phenotype | 2 | 121436 | 9 | 20.410 | 5949.8 |
| 266 | 2024-10-29 00:26:49 | phenotype | 1 | 81242 | 3 | 8.280 | 9811.8 |
| 265 | 2024-10-24 04:58:03 | phenotype | 2 | 121436 | 9 | 7.656 | 15861.5 |
| 264 | 2024-10-24 04:56:45 | phenotype | 2 | 121436 | 9 | 16.000 | 7589.8 |
| 263 | 2024-10-24 04:53:32 | phenotype | 1 | 81242 | 3 | 5.420 | 14989.3 |
| 262 | 2024-10-23 02:12:14 | phenotype | 1 | 81242 | 3 | 9.300 | 8735.7 |
| 261 | 2024-10-13 05:21:14 | phenotype | 1 | 81242 | 3 | 6.686 | 12151.1 |
| 260 | 2024-10-11 17:40:47 | phenotype | 1 | 81242 | 3 | 5.393 | 15064.3 |
| 259 | 2024-09-23 18:04:18 | phenotype | 2 | 121436 | 9 | 40.470 | 3000.6 |
| 258 | 2024-09-22 08:18:58 | phenotype | 3 | 148641 | 32 | 51.860 | 2866.2 |
| 257 | 2024-09-22 08:18:59 | phenotype | 2 | 121436 | 9 | 22.470 | 5404.4 |
| 256 | 2024-09-22 08:17:39 | phenotype | 1 | 81242 | 3 | 3.390 | 23965.2 |
| 255 | 2024-09-18 09:01:04 | phenotype | 3 | 148641 | 32 | 47.596 | 3123.0 |
| 254 | 2024-09-13 02:16:23 | phenotype | 3 | 148641 | 32 | 67.080 | 2215.9 |
| 253 | 2024-09-13 02:16:24 | phenotype | 2 | 121436 | 9 | 27.046 | 4490.0 |
| 252 | 2024-09-09 02:51:15 | phenotype | 1 | 81242 | 3 | 4.406 | 18438.9 |
| 251 | 2024-08-17 17:24:31 | phenotype | 1 | 81242 | 3 | 20.706 | 3923.6 |
| 250 | 2024-08-17 10:57:09 | phenotype | 1 | 81242 | 3 | 12.483 | 6508.2 |
| 249 | 2024-08-07 20:34:50 | phenotype | 1 | 81242 | 3 | 3.906 | 20799.3 |
| 248 | 2024-08-07 20:33:24 | phenotype | 1 | 81242 | 3 | 4.950 | 16412.5 |
| 247 | 2024-08-04 21:44:35 | phenotype | 1 | 81242 | 3 | 6.750 | 12035.9 |
| 246 | 2024-08-04 20:52:50 | phenotype | 1 | 81242 | 3 | 3.300 | 24618.8 |
| 245 | 2024-07-24 19:56:19 | phenotype | 3 | 148641 | 32 | 30.376 | 4893.4 |